This paper presents a methodology for monitoring vegetation in the Pays de Brest using new series of
Sentinel-1 satellite images combining with Sentinel-2 and SPOT-6. This work consists of establishing an
interferogram method of the main types of vegetation in order to achieve the coherence of a multi-temporal
Sentinel-1 radar image series, in SLC format (C band, VV and VH polarization), between 2015 and 2016. We
then proceed to calculating the radar backscatter coefficient based on Sentinel 1 images in GRD format.
Multi-date and multipolarized color compositions will be made to detect changes. It also shows the
importance of data synergy to obtain an excellent accuracy using Random Forest classification.